Yingjie Cao created FLINK-28373:
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Summary: Read larger size of data sequentially for sort-shuffle
Key: FLINK-28373
URL: https://issues.apache.org/jira/browse/FLINK-28373
Project: Flink
Issue Type: Improvement
Components: Runtime / Network
Reporter: Yingjie Cao
Fix For: 1.16.0
Currently, for sort blocking shuffle, the corresponding data readers read
shuffle data in buffer granularity. Before compression, each buffer is 32K by
default, after compression the size will become smaller (may less than 10K).
For file IO, this is pretty smaller. To achieve better performance and reduce
IOPS, we can merge consecutive data requests of the same field together and
serves them in one IO request. More specifically,
1) if multiple data requests are reading the same data, for example, reading
broadcast data, the reader will read the data only once and send the same piece
of data to multiple downstream consumers.
2) if multiple data requests are reading the consecutive data in one file, we
will merge those data requests together as one large request and read a larger
size of data sequentially which is good for file IO performance.
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